IBM SPSS Statistics

Pros

IBM's Predictive Analytics and Data SPAS Statistics Pro are powerful tools for businesses to harness the power of data and make informed decisions. With predictive analytics, companies can analyze historical data to identify trends and generate forecasts, allowing them to anticipate future market conditions and make appropriate strategic adjustments. Meanwhile, SPAS Statistics Pro provides powerful tools for data analysis, allowing users to rapidly uncover insights and generate actionable recommendations. By leveraging these solutions, businesses can gain a significant competitive advantage, enhancing their ability to make data-driven decisions and achieve their strategic objectives.

Cons

IBM’s predictive analytics and data SPSS statistics flaw has recently come to light as concerns have been raised about the tool's ability to produce inaccurate results. This has caused businesses and organizations to doubt the usefulness of the technology, as it may lead to incorrect decisions being made based on the data produced by the software. IBM is working to address the issue and improve the accuracy of its predictive analytics and data SPSS statistics, but in the meantime, it is important for users to be aware of this potential flaw and approach their data analysis with caution.

Alternatives Considered

Reasons for Switching to IBM SPSS Statistics

Pros

There is a robust time series analysis, which is very useful for diagnosing seasonal production issues and trends in forecasting when maintenance will be required for the equipment. The big data compatibility of the software in regard to variable relationships fostered by the software complemented by the enhanced visualization tools proves to be a valuable assistance in the aspect of production optimization analysis.

Cons

The general interface for custom script integration could be better realized. Possibility to opt for a certain type of report is not very gigantic. Continuous data integration is performed when more additional configuration is needed.

Pros

The fact that it contains all the necessary tools from plots to graph to diagrams needed for easy data analysis

Cons

It is relatively expensive compared to similar softwares like excel spreadsheet and google sheet

Pros

SPSS is the pioneer in the statistical reporting world. It have advanced analytics function with AI enable predictive model.
The kind of reports you can generate from it using BI is just awesome.
Very smooth operation and wide level of inputs/ data sheets are accepted.
Simply the best

Cons

1. It takes a lot of bandwidth to operate
2. No mobile app available.. already in your system
3. One needs to learn the tool well to start operating
4. Tutorials are not very useful

Pros

Its ability to offer different types analysis, which caters for everyone's capabilities

Cons

It can be complex if you do not get enough training

Alternatives Considered

Reasons for Choosing IBM SPSS Statistics

Switched From

Reasons for Switching to IBM SPSS Statistics

Pros

It is user friendly even for who is starting to learn statistics

Cons

That you have to repeat all analysis by hand, you cannot change what you did.

Pros

Can provide accurate analysis without coding.
There are range of analysis options to choose from.
Light weight.
You can integrate python programming language with IBM SPSS.

Cons

The User Interface is not modern.
Mostly for academic research and analysis.
Cannot embed charts.
Charts are not interractive but static images.

Alternatives Considered

Pros

It is a very complete package. It has a robust scripting language which makes repeatability of an analysis very possible, if the original analyzer so intends. There is also possibility to interact with R and many plugins. The plugin management system is easy to navigate.

Cons

Menu system is a little confusing. Price would be an issue for individual users. Licensing is slightly complicated. The base unit, although covering a lot of options will surely fall short for many individuals.

Pros

You can try a free trial before you buy a full licence. It is useful for schools and it can help greatly for dissertations or other projects.

Cons

The displayed data may look crammed or chaotic and the graphs are purely functional with no visual effect.

Pros

The SPSS user interface is extremely easy to use, giving you access to almost all of its features. A few things, like slicing a complex interaction in ANOVA, must be done using SPSS code, but that is a small minority.

Cons

SPSS is overpriced in today's market. There are now free and open-source packages that do almost everything SPSS does. For example, SPSS with all its add-ons runs over $20K per copy. BlueSky Statistics is very similar in ease of use and power, but with all its add-ons and tech support starts at $500. Plus the free version is also very capable. If you don't need extensive data management capabilities, JASP and jamovi also offer a solid set of statistical methods. A quick Google search will take you to detailed reviews of those and others.

Pros

It easy to use with many tutorial videos and content available online. Great statistical software for large data set.

Cons

sometime it is difficult to export the data.

Pros

SPSS is quite easy to use. Commands are clear and outputs are easy to read and interpret. Overall, it is a nice tool for social scientists.

Cons

SPSP can’t run all analyses needed for social sciences, without using plugins (e.g., mediation and moderation with bootstrap)

Pros

Spss is an affordable software; statistiques performance of spss is very high, and probably it's can be used some forensic case studies.

Cons

I do not like much when I have categorized my data all the time before running a data analysis using spss

Pros

this is an app for analyzing data and cleaning your data from any issue

Cons

this app is from the best apps to my heart to make data clean by it

Pros

Data processing is too smooth and fast no matter how big that data is.

Cons

SPSS is quite difficult to use especially if you are not familiar with the options. Kindly add shortcuts or use AI to make it more user-friendly.

Pros

Data can be easily imported to the software from data bases and Excel. Once the data is imported the graphical depiction of the data can be used to identify the behavior of data. After understanding the behavior of the data the data can be analyzed using the available statistical models. The most suitable statistical model for the data can be finalized in the process of data analysis. The software has a broad range of statistical models build on linear and regression theories and models. The software is easy to use with an unsophisticated menu driven interface. Anyone with basic mathematical knowledge can use the software for the analysis. An expert in statistics is not needed as data analyzing consists of few simple steps. However , 3- 4 weeks is needed to properly familiarize with the software. Basically four steps can be identified in using this software. First step is importing data , second step is selection of a procedure , third step is selection of a variable for data analyzing and fourth step is generating of results.

Cons

The efficiency of the software decreases when the size of data increases. Therefore, this can be a major drawback when used in the sectors such as health care. SPSS has 2 main windows one depicting data and the other depicting results. Therefore the software is too simple with limited windows. The software is very similar to excel and most of the results obtained in SPSS also can be obtained in excel by complex calculations .This is comparatively expensive compared to the similar software. The data should be cleaned before analysis in order to generate correct results.

Pros

I like to be able to see the analyzes I have done in the past with a single click, making it easy for me to switch to a new analysis while I am analyzing the data most in the software. At the same time, the program works very fast and I can see all the data analysis I want on a single screen. Again, by allowing the SPSS-Macro extension, I find it successful to do the analysis formats developed by Hayek. While doing this, I do not experience any freezing in the program, it runs smoothly. In this sense, it provides great convenience in terms of coding and processing of my data, as well as during analysis. Similarly, allowing graphics to be made in the program allows me to visualize the results of the analyzes I have obtained.

Cons

The lack of language support in the program is a disadvantage for me. Therefore, the only downside about the program is that you cannot access the software in my own language.

Pros

It's easy to learn to use and it's easy to use. The amount of information that can be obtained through statistical analysis makes it a very attractive program. The quality of the results is high therefore makes it a very reliable program.

Cons

The tables are very unattractive, I always have to pass to excel to be able to present something attractive

Pros

its a bit easy to use to only those with stat knowledge but not anyone

Cons

1. So many functionalities and hard to keep track of2. Unavailability of a Linux based app

Pros

It is very important for every researcher. Research is not possible without it.

Cons

Single mistake in the data does not make it run properly

Pros

SPSS is a feature rich product that has evolved to serve professional statisticians. It can do almost everything you could imagine. The new integration with R makes it even more capable. If you are trying to perform advanced modeling it can do it. It accepts data in most formats and can export data with ease.

Cons

Like a sports car, it is not easy. The menu system is not intuitive and options can be fussy. After years of working with it, I sometimes still end up searching for the test I want. The graphics are widely accepted in academic publications but are far behind those for the more commercial press. Tables often must be reworked to meet the standards necessary for any quality report.
The software comes in several flavors. This is great for saving money but often leaves people wanting features or tests only available in the next upgrade. Given the high cost of the software -- particularly for business customers -- an upgrade can be prohibitive.

Pros

SPSS is one of the best statistical analysis tools that I have dealt with, and it gives you accurate results that you can trust. SPSS provides multiple options for importing data, where I can easily import the data I want to analyze from Excel. I like the simple method in which Regression is analyzed and how the independent and dependent variables are entered. I also like how we can simply copy the results tables and send them to MS Word and Excel to complete the reports we are working on.

Cons

It's hard to find unwanted things, it's easy to use and just needs a little practice of the operations you want to perform. The availability of educational materials about all the operations that SPSS performs enables users to gain a greater understanding of the analytics they are working on.

Pros

SPSS is super user-friendly; you can get started super quickly, even if you do not know anything about syntaxes and coding. I particularly like the ability to create new syntaxes, save them, and use the same code for several similar studies.

Cons

I am a big fan of the software for data processing, but data visualization and reporting are not its strongest features. Exporting the data is often required to build analyses and reports.

Pros

IBM® SPSS® may be an effective statistical computer program stage. It offers a user-friendly interface and a vigorous set of highlights that lets your organization rapidly extricate significant experiences from your information. Progressed factual methods offer assistance to guarantee tall exactness and quality choice making. All features of the analytics lifecycle are included, from information arrangement and administration to examination and detailing.

Cons

i have used this software in my university research thesis and I have never found anything which is not according to my requirements.

Pros

The range of statistical tests and techniques available from the get-go in SPSS is unmatched, and there are additional modules that can be added to expand the software's abilities. It becomes relatively intuitive the more you use it, and its export options for the results it calculates are quite robust.

Cons

SPSS is quite intimidating if you've never used it before, and without guidance, it may feel almost impossible to get started with it. Perhaps its biggest problem is its ongoing legacy support for previous versions--in other words, IBM periodically seems to slap a new front end on the software, but with just a click or two, you immediately encounter dialog boxes and windows that look like they belong on a machine running Windows XP (...or earlier!). The overreliance on pop-up windows makes the interface even more dated and clunky. Honestly, IBM should completely gut the software and start over from scratch, but presumably that's too big of a task, which leaves us with this black box that has been coated with dozens of layers of proverbial paint.

Pros

SPSS taught me how to work with data. The software walks you through statistics. You learn as you work with SPSS and that it what I like the most about it.

Cons

I wish there were better graphs were available. I would really love to have all the stats reflected on colorful graphs.

Pros

The massiveness and extent of value it can unravel from data in processes that are "easy", intuitive, and "make sense". LOVE using product for complexly designed survey analyses - they are lots of fun

Cons

I like least that not everybody uses the software and thus miss out on these collaborative discovery sessions that leave all participants with a firmer grasp on what data story telling REALLY is

Pros

It is easier for data analysis in Statistics

Cons

It may not be used to perform all things in Data science

Pros

Plenty of output options are available with IBM SPSS, including tables, charts, and graphs. The application makes it simpler to evaluate and demonstrate outcomes of research.Allows users to use SPSS with other statistical tools by being able to import and export data in various formats. It makes  easier to integrate with multiple research workflows.Offers automation tools such as batch processing and syntax automation that can speed up repetitive tasks . It helps researches to focus more on data interpretation and analysisThere are numerous methods for dealing with missing data, such as mean substitution, multiple imputation, and maximum likelihood estimation. These tools enable researchers to successfully address the problem of missing data, resulting in reliable and accurate analysis.

Cons

In terms of computer memory and processing power, SPSS can be demanding, especially when working with huge datasets or carrying out complex analysis. Users with older or less powerful computers may face difficulties as a result, which could affect how well the software performs.Updates to software could cause for unexpected issues or need for modifications to current workflows, potentially compromising ongoing research projects.

Pros

1. User-Friendly Interface: One of the most significant advantages of IBM SPSS Logistic Regression is its user-friendly interface. Users can easily navigate and analyze their data without requiring advanced technical skills.2. Robust Modeling Options: The software offers various modeling options, including binary, multinomial, and ordinal logistic regression models. This allows researchers to choose the model that best fits their research question and data.3. Effective Handling of Missing Data: IBM SPSS Logistic Regression offers various methods to deal with missing data, including multiple imputation and maximum likelihood estimation. This ensures that researchers can handle missing data effectively, which is particularly important when dealing with complex datasets.4. Diagnostic Tools: The software provides various diagnostic tools to assess model fit, including the Hosmer-Lemeshow goodness-of-fit test and the classification table. These tools help researchers to evaluate the quality of their models and make necessary adjustments.5. Output and Reporting Options: IBM SPSS Logistic Regression produces tables and charts that summarize the results of the logistic regression models. This makes it easy for researchers to interpret and communicate their findings effectively.

Cons

1. Cost: IBM SPSS Logistic Regression is a commercial software tool and can be expensive, especially for individual researchers or small organizations.2. Limited Customization: While the software provides various modeling options, it may not allow for the level of customization required for some research questions or datasets.3. Steep Learning Curve: Although the interface is user-friendly, there is still a learning curve involved in using IBM SPSS Logistic Regression effectively. This may require additional training or support.4. Lack of Flexibility: The software may not be as flexible as some open-source statistical software tools, which can limit its usefulness in certain research contexts.

Pros

It is a great tool to analyze all types of datasets (large or small) without any problems. It provides comprehensive information about your data and extracts valuable information for your research.

Cons

Graphics and the user interface should be improved.
The price is a bit higher as compared with other tools.

Pros

There is a learning curve, but it's not that difficult to find your way around the software. Good for students and employees alike.

Cons

Limited functionality compared to a lot of other statistical software

Pros

I have used SPSS to carry data analysis and reporting for my security and cloud computing research to support the different statistical analysis and management for my simulations. I like the variable support in SPSS that gives a better data view of the samples in one Spreadsheet. The variable creation process is highly automated that makes the deployment of the statistical model much more facilitated. Moreover, the variable configuration process is very intuitive and resembles basic relational entities in RDBMSes. By the way, I integrated SPSS with prominent RDBMSes such as Oracle and MySQL.

Cons

The main limitation that occurred is the performance degradation when loading large data sets. Though, this wasn't easily replicated, we believe that the size of the data set could be the main factor resulting in the lags we experienced. The SPSS learning curve is steep and it requires a lot of training to make the user acquainted to use it effectively.

Pros

I use for my psychology bacholer program. I use especially the compare tools.

Cons

The tools are not expland very good and cannot find easily.

Pros

I learnt statistics using SPSS, and for that it will always be a product that has personal significance for me. It is very user friendly and the UI and ribbon, although dated, allows inexperienced users to quickly understand and navigate its functionality. For simple statistical operations, SPSS is great.

Cons

For statisticians who are more experienced, SPSS will likely feel sluggish. It does not have the kind of customisation that other packages or programming languages have, e.g. R, and it can feel slow.

Pros

I like how easy I can collect my experiment datas and show a quick results of it.

Cons

It is such a complicated application I think it need more information about the skills that the app contains.

Pros

IBM SPSS Statistics is very user-friendly, and we can upload files easily. We can perform highly complex data analysis with accuracy

Cons

It is very expensive, and the setup file is huge and complicated to install. It will make the computer work slow.

Pros

It has so many options to do a statistical test

Cons

Sometimes it is difeacult to find a feature of software

Pros

It is very user-friendly, and Analysis results will e more accurate we have many tests available we can use that according to the analysis

Cons

It is a bit costly, setting up is hard, and it needs to be more self-explanatory. it will make the system to work slow

Pros

It is very easy to use unlike other applications. It is very specialized in its category and you do not need much time to understand how it works.

Cons

More ideas might be required to reflect dashboards as a result of the analysis. More diagrams maybe needs to be added to the application.

Alternatives Considered

Reasons for Choosing IBM SPSS Statistics

Reasons for Switching to IBM SPSS Statistics

Pros

I found IBM SPSS Statistics to be an effective tool for analyzing data. It offers a wide range of statistical techniques and tools that allows me to delve deep into my data and uncover meaningful insights. One of the greatest advantages of this software is its user-friendly interface which makes it easy for me to access the tools and features, even as a new user of data analysis. Additionally, the visualization tools are exceptional, enabling me to create various charts and graphs that help me see patterns and trends in my data.

Cons

Now, there are a couple of downsides I least liked about it. First off, it's not exactly cheap. If you're a small organization or just a single user, you might have to fork over a decent chunk of cash to use it. And it's not the most beginner-friendly thing in the world, so you'll probably need to put in a little bit of time to learn how to use all the features. Plus, it's not open source, so that might be a deal breaker for some folks. And finally, it's not as good as R or Python for super advanced analysis.

Pros

SPSS Statistics has a user-friendly interface that makes it easy for users to perform various data analysis tasks, IBM SPSS Statistics has robust data visualization capabilities, allowing users to create clear and concise data visualizations that effectively communicate their findings. IBM SPSS Statistics has a large community of users, making it easy to find support and resources when needed.

Cons

IBM SPSS Statistics can be expensive, making it inaccessible to some users.Some users have reported technical support issues, making it difficult to resolve problems when they arise.

Pros

It very very good software for the beginners in data science. It is used for market research layae and we can test and save them. There are many options of tests such as regression and ANOVA ect

Cons

UI/UX would have been better and file size very large it takes more time to install and configure and it make computer work slow

Pros

IBM SPSS is very helpful in doing data analysis using statistical techniques like - Regression, Correlation, ANNOVA and other similar tests. It saves time and lot of effortsFor Research Scholars, this tool is very effective and useful

Cons

A trial version of 30-50 days should be there so that people can have some hands on experience on this tool

Pros

SPSS has been around for a very long time, so it's what a whole lot of researchers are most comfortable using, including usually myself, in spite of my criticism of it. It has most of the statistical tests that one needs for my area of research. Things usually work and the GUI interface is accessible to people. But there is also a script output, so one doesn't need to waste time pointing and clicking constantly. These are great features.

Cons

SPSS has been slow to adopt Bayesian testing and I hear that aspect still needs a lot of work. The outputs for any tests are typically quite difficult to read. The visualizations are quite poor / unattractive and not particularly easy to customize. I never publish SPSS-made graphs. Every person I know will use another software program to make data visualizations. SPSS costs money, and there are other open source options out there that are just as good or better. R has been open source for quite some time and has better and more customizable visualizations. It doesn't have a GUI interface, which is a pro of SPSS. But then there are programs like JASP that have GUI interfaces AND Bayesian functions AND scripting and they're free. So it's hard to justify SPSS.

Pros

I am working with IBM SPSS since over 10 years now and never had any serious problem / bug, so it is a super realiable & solid statistical analysis software. It offers a wide range of statistical analysis methods and guides you well through the whole analysis process.

Cons

Some areas/modules of the software are not that easy to understand or as user-friendly as they could be. This I realized, when I introduced the software to a new collegue.

Pros

I Return to mostly because of its data cleaning capability and the ability to save chart templates and reuse. It is flexible for basic statistical analysis though requires an good statistical background to perform sophisticated statistical analysis with it.

Cons

The fact that the software has no algorithms that can help you decide on the right statistical test seems problematic to novices in statistical data analysis. You must know the exact test to perform, the software cannot help you decide

Alternatives Considered

Reasons for Switching to IBM SPSS Statistics

Pros

SPSS is a phenomenal resource for data analysis be it for an advanced statistician or a student learning basic research methodology. The program is designed to run very simple analyses (mean, mode, median, SD, T-Tests) to complex theoretical modeling in order to identify and name IV's and DV's. SPSS provides reader-friendly and exhaustive help within the program, as well as live help if needed (which, in my experience is not very often). I love the options that I can add to the output such as graphs, charts, histograms, and what specific data means based on what I want analyzed. Much easier to use that other programs of a similar nature, which means I spend less time asking a colleague in the Math Department if I am using the most appropriate analysis based on the data collected. Also, I appreciate how easy it is to copy and paste tables and images into a text document.

Cons

Until there is a technology that allows one to immediately "download" large and complex bodies of information into the brain, I have little criticism for SPSS. If I am in deep water and do not fully understand what the "Help" section is telling me, I simply step backward until I reach a level that I do understand and move forward from there. Kind of like teaching myself. It is unreasonable to blame a program for my own limitations.

Pros

Very easy to use. High level functionality and easy to perform mechanisms. Fine way of operations. Can run anything from basic descriptive statistics to high level simulations. Easy to import data in different formats (csv, xls, sav, etc.). Data cleaning process are easily executed which includes missing value imputation, data recoding, and data restructuring. Very functional in running multivariate methods like exploratory factor analysis, ANOVA, linear regression, logistic regression, discriminant analysis, and MANCOVA. Most operations are done through interactive dashboard, which is hassle free. Overall it is a great statistical package to run different analysis at a very affordable price.

Cons

It is tedious to do multiple iterations using SPSS. Syntax functionality is low and lines of codes become exhaustive when you run monte carlo simulations. The most challenging aspect is to run simulations with large data sets. The support provided by the support team doesn't extend beyond technical support. SPSS requires add ons for running the simulations which cost extra to the users. Overall it is deficient in running certain simulations.

Pros

SPSS makes it easier to analyze data and report them to audience with diverse backgrounds.
Anyone can use SPSS, even without formal training, because it is not so complex to use. Even if you don't have experience in programming, you will be able to use it. It makes you do analysis in smallest possible time, thus if if you really understand the data you are using. And also know the right commands and inputs.

Cons

In spite of the positive things said about SPSS, It can be a bit costly to use this app as a Researcher. You can really do a lot with this app, however, this can only happen if you really have some understanding of your data and really know what you are doing when running regressions.